Match your research with the right commercial partners
Australian innovators cannot translate research into commercial success due to outdated frameworks and broken commercialisation systems despite available funding.
MatchForge leverages AI to connect Australian researchers with compatible industry partners, potential co-founders, mentors and investors. The platform streamlines the matchmaking process with smart profiles, compatibility scoring, and built-in tools for secure collaboration and partnership development specifically designed for deep tech commercialisation in Australia.
Australian researchers, scientists, and deep-tech entrepreneurs attempting to commercialize innovations
Deep integration with Australian industry associations and a matching system trained on past successful university-industry partnerships like those from the Cooperative Research Centres.
professional
Create detailed profiles of your technology and commercial needs
AI finds and ranks best-fit partners, investors and mentors
Generates personalized outreach messages and facilitates introductions
Secure shared spaces for matched partners to collaborate
Monitor progress from initial match through to commercial agreement
Australian-specific NDAs, MoUs and term sheets
Detailed breakdown of match strength with historical success indicators
Insights into your expanding commercial ecosystem
AI sequences to maintain momentum with connections
Connect with existing tools used by TTOs and researchers
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| full_name | text | Yes |
| institution | text | Yes |
| role | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| innovation_summary | text | No |
| trl_level | int | Yes |
| desired_partners | text | Yes |
| metadata | jsonb | Yes |
| updated_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| profile_id | uuid | No |
| matched_profile_id | uuid | No |
| score | int | No |
| status | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| match_id | uuid | No |
| status | text | No |
| next_milestone | text | Yes |
| agreement_signed | bool | No |
| updated_at | timestamp | No |
Relationships:
/api/profilesCreate or update innovation profile
/api/matchesRetrieve ranked partner matches
/api/introductionsRequest warm introduction to a match
/api/partnershipsList active partnerships and status
/api/workspaceCreate shared collaboration space
3 matches per month
None
Custom
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 180 | 7% | $441 | $5,292 |
| Month 6 | 920 | 16% | $5,152 | $61,824 |
AI matchmaking for Australian researchers and deep-tech entrepreneurs. Connect with industry, investors and co-founders who can actually help you succeed.
Attend industry networking events like those hosted by AusBiotech, Research Australia and the Australian Industry Group. Partner with incubators like Cicada Innovations, ATP Innovations and Melbourne Accelerator Program to offer free access to their cohorts. Run targeted webinars on 'Finding the Right Commercialisation Partner' promoted via university newsletters to capture early users.
Huge professional network
No domain expertise or matching algorithms for deep tech
Specialized AI matching for Australian research commercialisation
Strong in startup programs
Generic matching, not Australia-focused
Deep integration with Australian ecosystem and CRC programs
Investor network
Primarily US-focused with little research commercialisation support
Balanced focus on industry partners, mentors AND investors with local context
Network effects as more researchers and industry partners join the platform. Proprietary dataset of Australian partnership outcomes that improves matching accuracy over time.
Major shifts in ARC and NHMRC funding criteria now heavily reward industry collaboration. The $15B National Reconstruction Fund requires strong industry-research partnerships that most researchers struggle to form.
Difficulty achieving critical mass for quality matching
Start with university partnerships to seed researcher side and manually recruit industry partners
Poor matching quality leading to bad experiences
Combine AI with human curation in early versions and gather explicit feedback on match quality
IP leakage or disputes between matched parties
Provide strong template agreements and clear platform terms limiting liability
Success: Clear confirmation that current methods are inefficient and willingness to use a specialized platform
Success: At least 8 successful introductions and 3 formal partnerships initiated
Success: 250 signups and 25 Pro subscribers in first 30 days
Success: Achieve 40% match-to-introduction conversion rate
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